Results 21 to 30 of about 2,335 (188)

Automatic detection of brown hens in cage-free houses with deep learning methods

open access: yesPoultry Science, 2023
: Computer vision technologies have been tested to monitor animals’ behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, it
Yangyang Guo   +4 more
doaj   +2 more sources

Research on Online Listening Behavior Recognition Model Based on Improved YOLOv8 Algorithm [PDF]

open access: yesJisuanji gongcheng
Target detection technology is advancing, but recognizing online listening behavior remains a challenge. Inaccurate identification of online classroom conduct and high model computation owing to limited human supervision and complex target detection ...
LI Mengkun, YUAN Chen, WANG Qi, ZHAO Chong, CHEN Jingxuan, LIU Lifeng
doaj   +2 more sources

Leaf Segmentation Using Modified YOLOv8-Seg Models

open access: yesLife
Computer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research.
Peng Wang   +6 more
doaj   +2 more sources

Automatic Extraction of Damaged Houses by Earthquake Based on Improved YOLOv5: A Case Study in Yangbi

open access: yesRemote Sensing, 2022
Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming and low in ...
Yafei Jing   +4 more
doaj   +2 more sources

Enhancing End-to-End Graphite Ore Grade Detection via Boundary-Aware Refinement, Bidirectional Fusion, and Difficulty-Aware Distillation

open access: yesApplied Sciences
Graphite ore grade sorting is a key step toward intelligent mineral processing; however, it faces three representational contradictions: ambiguous classification posteriors at grade boundaries, asymmetric multi-scale feature interaction, and the mismatch
Yanwu Yi   +4 more
doaj   +2 more sources

Improved Tomato Leaf Disease Recognition Based on the YOLOv5m with Various Soft Attention Module Combinations

open access: yesAgriculture
To reduce production costs, environmental effects, and crop losses, tomato leaf disease recognition must be accurate and fast. Early diagnosis and treatment are necessary to cure and control illnesses and ensure tomato output and quality. The YOLOv5m was
Yong-Suk Lee   +5 more
doaj   +2 more sources

EfficientRDet: An EfficientDet-Based Framework for Precise Ship Detection in Remote Sensing Imagery

open access: yesRemote Sensing
Detecting arbitrarily oriented ships in remote sensing images remains challenging due to diverse orientations, complex backgrounds, and scale variations, leading to a struggle in balancing detector accuracy with efficiency.
Weikang Zuo, Shenghui Fang
doaj   +2 more sources

EfficientMFRF-BiFPN: A CNN-Transformer Hybrid With Multi-Feature Representation Fusion for Pneumonia Detection

open access: yesIEEE Access
Pneumonia remains a significant global health threat, especially in vulnerable populations, and early, accurate diagnosis is critical for effective intervention.
Kerang Cao   +3 more
doaj   +3 more sources

CB-YOLOv7: A Modified YOLOv7 Approach for Accurate Weed Detection in Complex UAV Imagery from Cotton Fields

open access: yesAgriEngineering
Weed detection is an important part of precision agriculture because it allows farmers to manage weeds more efficiently and reduce unnecessary herbicide use.
Anindita Das   +2 more
doaj   +2 more sources

A Green Jujube Grading Model Using BiFPN and COT Attention Mechanism

open access: yesAgronomy
The grading of green jujube is a key factor in improving production efficiency and market competitiveness. However, traditional grading methods are inefficient, imprecise, and struggle to detect minor damages.
Pengyan Chang   +4 more
doaj   +2 more sources

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